This lecture note covering basic to
advanced concepts of python ,program execution, arithmetic, variables and
functions. It also explores turtle module case studies, conditionals, recursion,
functions, iteration, strings, and lists with a focus on algorithms,
dictionaries, tuples, file handling, and basic object-oriented programming,
classes, functions, inheritance, and advanced Python features.
This
note covers the following topics: A powerful calculator, Data types and data
structures, introspection, Input and output, Control flow, Function and modules,
Functional tools, Common tasks, Python shells, Symbolic computation, Numerical
Computation, Numerical python arrays, Visualising data, Numerical method using
python, Pandas data science with python, Python packages and environments.
This note covers introduction to python and history, Python Structure
with basic collation, Object orientated concept and exception handling with
debugging and file handling.
Author(s): Vitthalbhai Patel and Rajaratna P T Patel Science
College
This book explains the following topics:
Introduction and Review, variables, Expressions, Operators, For Loops, Range For
Loops, Python Functions : Karel functions, function Analogy, Function as python
Objects and Variable Scope.
The contents include : Foreword, Setting Up a Python
Programming Environment, An Introduction to Machine Learning, How To Build a
Machine Learning Classifier in Python with Scikit-learn, How To Build a Neural
Network to Recognize Handwritten Digits with TensorFlow, Bias-Variance for Deep
Reinforcement Learning: How To Build a Bot for Atari with OpenAI Gym.
Author(s): Lisa Tagliaferri, Michelle Morales, Ellie
Birbeck, and Alvin Wan
This note describes the following topics:
Introduction to Python and Object Oriented Concepts, Python Classes and Objects,
Strings and Functions, Exception Handling, Graphical User Interface.
Author(s): Mr. M
Purushotham Reddy and Mrs. A Lakshmi